# -*- coding: utf-8 -*-
from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from jms.dm.dm_network_no_reguler_reback_register_dt import jms_dm__dm_network_no_reguler_reback_register_dt

jms_dm__dm_network_no_reguler_reback_register_summary_dt = SparkSqlOperator(
task_id='jms_dm__dm_network_no_reguler_reback_register_summary_dt',
task_concurrency=1,
pool_slots=2,
master='yarn',
execution_timeout = timedelta(minutes=15),
email=['wangmenglei@jtexpress.com','yl_bigdata@yl-scm.com'],
name='jms_dm__dm_network_no_reguler_reback_register_summary_dt_{{ execution_date | date_add(1) | cst_ds }}',
sql='jms/dm/dm_network_no_reguler_reback_register_summary_dt/execute.sql',
    driver_memory='3G' , 
    executor_cores=2 , 
    executor_memory='3G' , 
    num_executors=2 , 
conf={
         'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
         'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors'             : 2 , 
         'spark.dynamicAllocation.cachedExecutorIdleTimeout': 120,  # 动态资源自动释放闲置 Executor 的超时时间(s)
        'spark.executor.memoryOverhead'             : '2G' , 
         'spark.hadoop.hive.exec.dynamic.partition.mode': 'nonstrict', # 动态分区
         'spark.hadoop.hive.exec.dynamic.partition': 'true',
         'spark.sql.shuffle.partitions': 60
     },
hiveconf={'hive.exec.dynamic.partition': 'true',
          'hive.exec.dynamic.partition.mode': 'nonstrict',
          'hive.exec.max.dynamic.partitions.pernode': 200,
          'hive.exec.max.dynamic.partitions': 200
          },
yarn_queue='pro',
)

jms_dm__dm_network_no_reguler_reback_register_summary_dt  << [
    jms_dm__dm_network_no_reguler_reback_register_dt
]

